Solaris Networking Projects

本文介绍了Solaris操作系统中几个重要的网络技术项目,包括Crossbow网络虚拟化项目、FireEngine高性能网络架构、Nemo高性能设备驱动框架等。这些项目极大提升了Solaris在网络领域的性能和灵活性。

在看Solaris技术文档的时候,有时候会遇到很多术语,比如crossbowfireenginenemo等等。这些术语都是Solaris网络相关的一些项目,这里做一个总结:

Crossbow

Solaris网络虚拟化和资源管理项目。

 

We are determined to lead in the area of network virtualization. The upcoming project Crossbow is designed to provide the building blocks for utility computing by creating virtual stacks around any service (HTTP, HTTPS, FTP, NFS, etc.), protocol (TCP, UDP, SCTP, etc.), or Solaris Containers technology. The virtual stacks are separated by means of a H/W classification engine such that traffic for one stack does not impact other virtual stacks. Each virtual stack can be assigned its own priority and bandwidth on a shared NIC without causing performance degradation to the system or the service/container. The architecture dynamically manages priority and bandwidth resources, and can provide better defense against denial-of-service attacks directed at a particular service or container by isolating the impact to just that service or container.

 

项目社区:http://www.opensolaris.org/os/project/crossbow/

FireEngine

Solaris10网络新架构项目。

 

"For the Solaris 10 release, we have turbo-charged the networking stack to deliver extremely high performance while improving the scalability across all platforms (SPARC and x86). Of course, the changes didn't happen overnight -- it took us two years to do the background research for vertically partitioning the workload using an IP classifier-based lock-less design." -- Sunay Tripathi, FireEngine Architect

This new architecture reduces the overheads of synchronization and cross communication between CPUs (a necessary ingredient for scaling across a very large number of CPUs). In simple terms, it means that we have improved the networking performance across small CPU configurations while maintaining the high scalability across large CPU configurations that the Solaris OS was well-known for.

Nemo

Solaris高性能设备驱动框架

2006 Sun Microsystems Chairman's Award Recipients -- Solaris Software: Nemo (a.k.a. GLDv3)

 

GLDv3: This high-performance device driver framework has VLAN support and 802.3ad Link Aggregation support for off-the-shelf device drivers.

 

The following drivers are based on GLDv3 framework: bge, e1000g, xge, rge, ixge, and nge. Customers can have VLAN and link aggregation capabilities with these drivers on both SPARC and x86 platforms. IHVs can use this new interface instead of GLDv2 for network device driver development.

 

This framework can offer:

 

1Greatly improved performance due to:

²        Direct function calls and packet chaining between IP and device driver

²        IP controlling the NIC and dynamically switching it between interrupt and polling mode

²        Lower CPU utilization

²        Use of advanced NIC features

2VLAN support

 3802.3ad Link Aggregation (trunking) support

 

项目社区:http://opensolaris.org/os/project/nemo/

Yosemite

The Yosemite project is aimed at improving Solaris UDP performance. The project is made up of various smaller projects, including UDP/IP merge, UDP hardware checksum offload, broadcast/multicast performance, socket-layer processing, and many others. The goal is to make the Solaris OS more competitive when compared to Linux when UDP is used as the transport protocol, especially for workloads sensitive to latency and/or throughput.

IPv6

With the Solaris 10 OS, IPv6 has been further enhanced to support 6to4 Router (RFC 3056), default address selection (RFC 3484), privacy extensions for stateless address autoconfiguration (RFC 3041), the new IPv6 Basic API (RFC 2553), and the new IPv6 Advanced API (RFC 2292).

Clearview: Network Interface Coherence

OpenSolaris Project: Clearview

Clearview is a project to rationalize, unify, and enhance the way network interfaces are handled in the Solaris OS at the programmatic and administrative levels. While this sounds a bit opaque, the effects of ensuring that all network interfaces have these attributes are far-reaching and eminently practical. For example, as a result of Clearview, customers would be able to do the following (and more):

    * Observe all IP layer network traffic, including loopback, IPMP group and IP tunnel traffic.

    * Observe all IP layer network traffic flowing to and from a zone.

    * Administrate all network interfaces using dladm(1M).

    * Use VLANs and form link aggregations on all Ethernet devices.

    * Use IPMP with technologies such as DHCP and routing protocols.

    * Select names for network interfaces, easing migration of network configuration information between systems or zones, and markedly improving Dynamic Reconfiguration.

Network Auto-Magic

OpenSolaris Project: Network Auto-Magic

Simplifying and automating network configuration on the Solaris OS. There are six focus areas:

 

    * Overview and Component Interaction

    * State Machine

    * Event Handler

    * Profiles

    * Network Service Model

    * Dependencies with the rest of the system

基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)内容概要:本文围绕“基于数据驱动的Koopman算子的递归神经网络模型线性化”展开,旨在研究纳米定位系统的预测控制方法。通过结合数据驱动技术与Koopman算子理论,将非线性系统动态近似为高维线性系统,进而利用递归神经网络(RNN)建模并实现系统行为的精确预测。文中详细阐述了模型构建流程、线性化策略及在预测控制中的集成应用,并提供了完整的Matlab代码实现,便于科研人员复现实验、优化算法并拓展至其他精密控制系统。该方法有效提升了纳米级定位系统的控制精度与动态响应性能。; 适合人群:具备自动控制、机器学习或信号处理背景,熟悉Matlab编程,从事精密仪器控制、智能制造或先进控制算法研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①实现非线性动态系统的数据驱动线性化建模;②提升纳米定位平台的轨迹跟踪与预测控制性能;③为高精度控制系统提供可复现的Koopman-RNN融合解决方案; 阅读建议:建议结合Matlab代码逐段理解算法实现细节,重点关注Koopman观测矩阵构造、RNN训练流程与模型预测控制器(MPC)的集成方式,鼓励在实际硬件平台上验证并调整参数以适应具体应用场景。
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